In this paper we first analyze the relevant transmission tower detection systems in China and abroad, understand the pain points and needs in the use of the system, then design an Internet of things-based transmission tower mechanical state monitoring system. The system adopts the hardware design of distributed host-worker machine, through the sensor of the worker or host machine to realize monitoring the tilt angle of each dimension of the pole tower and the climate environment information such as wind speed, temperature and humidity of the surrounding environment, transmitting them to the host machine by Bluetooth, and the host machine performs edge calculation to assess the operational fault risk of the transmission line pole tower using the improved analytic hierarchy process. We can achieve detection and prevention of risks much earlier. Then the host uploads the detected and processed data to Ali-Cloud Internet of things platform through MQTT protocol for data visualization. Risk data visualization enables the staff to grasp the operation of the transmission tower in real time and provide a reference for inspection of the tower operation mechanics state and the basis for inspection.
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